广东省工业环境效率的区域差异及影响因素研究

发布时间：2018-05-18 11:36

本文选题：SBM模型 + 环境效率　；参考：《华南理工大学》2014年硕士论文

【摘要】：广东省作为中国的排头兵，经过30多年的快速发展，经济实力大大增强，人民生活水平明显提高。但是伴随着这样的快速增长，广东省工业不仅面临着严峻的转型压力，更面临着资源环境的约束。因此，如何促进本省工业经济可持续发展，是其亟需解决的重要问题。本文在现有研究的基础上，运用2000年至2012年广东省及四大区域的数据，采用数据包络分析中非径向、非角度的SBM模型在规模报酬可变（VRS)假设下分别测算了广东省和四大区域的环境效率。此外，运用Tobit模型对广东省及四大区域的环境效率与其影响因素进行了回归分析。本文得出的主要研究结论有：第一，综合考虑工业发展、污染排放等指标，，通过定量分析得到从2000年至2012年广东省整体的工业经济发展速度呈递减趋势，但是环境污染状况得到缓解；珠三角地区同广东省的情况相似，但粤东地区、粤西地区和山区的情况则相反，即随着工业经济增长速度的逐年上升，环境状况在恶化；第二，通过运用数据包络分析的BCC模型和SBM-V模型（在规模报酬可变假设下的SBM模型），分别对广东省及四大区域在不含污染排放等非期望产出因素时的经济效率值和含污染排放等非期望产出因素下的环境效率值进行测算，测算结果显示：（1）不考虑污染排放情况下的效率评价是失真的，采用SBM-V模型能提高效率评价的准确性和可信程度；（2）环境污染造成广东省较大程度的效率损失；（3）珠三角地区不仅在工业经济上优于其他三个区域，而且在环境污染治理上也明显好于这些区域，即粤东地区、粤西地区和山区陷入“双重恶化”的境地；第三，运用Tobit模型分析广东省及四大区域2000年至2012年的环境效率的影响因素及影响程度。通过分析可知，经济发展水平、对外开放水平对广东省及四大区域有正向的促进作用，产业结构和能源消耗水平对广东省及四大区域有负面影响。此外，人口规模对广东省有反向促进作用，区位因素对广东省四大区域有正向促进作用；最后，对本文内容进行总结，并分别对广东省及四大区域提出相应的提高工业环境效率的对策建议。
[Abstract]:Guangdong Province as China's vanguard, after more than 30 years of rapid development, economic strength greatly enhanced, the people's living standards improved significantly. However, with such rapid growth, Guangdong's industry is not only facing severe pressure of transformation, but also facing the constraints of resources and environment. Therefore, how to promote the sustainable development of the province's industrial economy is an important problem that needs to be solved. Based on the existing research, the data of Guangdong Province and four regions from 2000 to 2012 are used to analyze the non-radial region. On the assumption of variable scale reward (VRS), the non-angle SBM model measures the environmental efficiency of Guangdong Province and four regions respectively. In addition, the Tobit model is used to analyze the environmental efficiency and its influencing factors in Guangdong province and four regions. The main conclusions of this paper are as follows: First, considering the industrial development, pollution emission and other indicators, through quantitative analysis of Guangdong Province from 2000 to 2012, the overall industrial economic development rate showed a decreasing trend, but the environmental pollution situation has been alleviated; The situation in the Pearl River Delta region is similar to that in Guangdong Province, but the situation in the eastern part of Guangdong Province, the western part of Guangdong Province and the mountainous area is the opposite, that is, with the increase of industrial economic growth rate year by year, the environmental situation is deteriorating. Second, By using the BCC model of data envelopment analysis and the SBM-V model (SBM model under the variable scale reward assumption), the economic efficiency and pollution content of Guangdong Province and four regions with non-expected output factors such as pollution emission were studied. The environmental efficiency values of non-expected output factors, such as dye emissions, are calculated. The results show that the efficiency evaluation without considering pollution emissions is distorted. The SBM-V model can improve the accuracy and reliability of efficiency evaluation. (2) the environmental pollution causes a great loss of efficiency in Guangdong Province. The Pearl River Delta region is not only superior to the other three regions in terms of industrial economy. And in environmental pollution control is obviously better than these areas, that is, the eastern part of Guangdong, the western part of Guangdong and the mountain area fall into the "double deterioration" situation; Thirdly, Tobit model is used to analyze the influence factors and degree of environmental efficiency in Guangdong province and four regions from 2000 to 2012. Through the analysis, it can be seen that the level of economic development and the level of opening to the outside world have a positive effect on Guangdong Province and the four regions, and the industrial structure and the level of energy consumption have a negative impact on Guangdong Province and the four regions. In addition, the population scale has the reverse promotion function to the Guangdong Province, the location factor has the positive promotion function to the four big regions of Guangdong Province; Finally, this paper summarizes the contents of this paper, and puts forward corresponding countermeasures and suggestions to Guangdong province and four regions to improve the industrial environmental efficiency.
【学位授予单位】：华南理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：X322;F427

【参考文献】